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Digital Marketing

Digital Marketing

Marketing can be incredibly expensive, and it’s even more so when it’s not effective. Only 31% of businesses generate measurable sales from social media marketing, and the average yield for email marketing is $44.25 for each dollar spent.

Added to this is the expectations from a new generation of customers. While bulk marketing was acceptable in the past, today’s savvy consumers expect personalised marketing. 91% of consumers are more likely to shop with companies that provide relevant recommendations.

In 2019, the huge disruptive influence from the buying power of Millennials was measured. 72% of consumers only engaged with marketing that was tailored to their specific interests. 70% of people felt frustrated when their shopping experience was impersonal. The time to start targeted, personalised marketing is now.

Using AI will take the guesswork out of marketing

Using iTuring AutoAI can help you increase Click Through Rates (CTR), customer acquisitions and conversions. It can make marketing far more effective.

Upsell and cross-sell opportunities are identified early on. This creates extra sales volume as the customer is already ideally placed to buy, and the added sale just adds to the bottom line.

Personalised content is what the new generation of consumers demand. Machine learning turns data into personalised recommendations that increase likelihood of sales.

Lead scoring prioritises leads to avoid missed sales. It also means only good quality leads are followed up, decreasing wasted time and staff burnout.

Smart segmentation allows customers to be divided into categories based on a wide range of diverse data. This means a smaller target group, higher chance of selling, and targeted ad campaigns that deliver sales. Increase customer acquisition by only targeting those who are likely to buy.

How customer intelligence works in the real world

A leading bank in South Africa wanted to increase the adoption and use of their overdraft product. To do this, the sales team wanted to target customers who were ready to upgrade their overdraft to a higher limit.

iTuring AutoAI created an upsell prediction model by using a series of data points. In a matter of hours, iTuring AutoAI predicted which customers were ready to upgrade in the near future.

The model had a 94% accuracy, which resulted in a 32% increase in limit uptake. This not only increased the sales of the bank, but also reduced their marketing spend. By only targeting the customers who were likely to buy, there’s less wasted time and spends on unproductive marketing.

How CyborgIntell can revolutionise and refine your marketing

Personalization requires a deep understanding of hidden customer behaviours. With proprietary feature engineering capabilities, and identification of the most relevant algorithms that works best on your data, iTuring AutoAI builds accurate and actionable models for your business.